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HASK | COLLOCATION DATABASES
Citation Please cite this paper in publications using HASK for the BNC: Pezik, Piotr. Graph-Based Analysis of Collocational Profiles. In Phraseologie Im Wörterbuch Und Korpus (Phraseology in Dictionaries and Corpora), edited by Vida Jesenšek and Peter Grzybek, 227–43. ZORA 97. Maribor, Bielsko‑Biała, Budapest, Kansas, Praha: Filozofska fakuteta, 2014.
150,045entries containing2,875,407combinations...
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Part of speech:
Collocate's part of speech:
excelSpreadsheet
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. march marching Verb 21 4.53 15.25 1,819.71 0.27 5 16,720,023 3.25
2. preserve preserve Verb 5 2.01 7.96 40.37 0.34 3 25,424,019 2.14
3. help help
HELPS 		Verb 5 -0.21 4.51 0.04 0.34 3 46,947,444 1.16
4. go go
goes
going 		Verb 25 -1.12 9 1.04 0.34 7 12,714,880 4.28
5. find find
found 		Verb 7 -2.25 4.73 2.76 0.58 6 14,305,996 3.8
6. come came
come
comes
coming 		Verb 9 -3.52 5.22 5.77 0.64 8 15,785,866 3.44
7. know knew
know
known
knows 		Verb 7 -6.46 3.83 12.31 0.49 5 15,839,668 3.43
8. could could Verb 5 -7.45 2.53 12.98 0.48 4 17,859,344 3.04
9. make made
make 		Verb 7 -8.07 3.6 16.35 0.58 6 15,419,877 3.53
10. take take
taken
takes
taking
took 		Verb 5 -8.26 2.41 14.74 0.56 5 14,518,370 3.74
11. would would Verb 11 -8.6 5.07 21.09 0.68 10 10,578,698 5.14
12. will will
willed 		Verb 6 -11.88 2.62 24.64 0.43 4 29,323,844 1.85
13. say said
says 		Verb 7 -13.54 3 30.77 0.63 7 12,152,209 4.47
14. have had
has
have
having 		Verb 51 -16.96 9.59 94.99 0.78 32 2,945,109 18.46
15. do did
do
does
doing 		Verb 10 -19.65 3.79 55.95 0.7 10 9,016,525 6.03
16. be 'm
're
's
am
Are
be
been
being
is
was
were 		Verb 200 -25.13 13.81 340.72 0.9 71 824,885 65.9
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